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Analysis of the filtered-X LMS algorithm and a related new algorithm for active control of multitonal noise

机译:滤波-X LMS算法及相关的新算法对多调噪声的主动控制分析

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In the presence of tonal noise generated by periodic noise source like rotating machines, the filtered-X LMS (FXLMS) algorithm is used for active control of such noises. However, the algorithm is derived under the assumption of slow adaptation limit and the exact analysis of the algorithm is restricted to the case of one real sinusoid in the literature. In this paper, for the general case of arbitrary number of sources, the characteristic polynomial of the equivalent linear system describing the FXLMS algorithm is derived and a method for calculating the stability limit is presented. Also, a related new algorithm free from the above assumption, which is nonlinear with respect to the tap weights, is proposed. Simulation results show that in the early stage of adaptation the new algorithm gives faster decay of errors.
机译:在周期性噪声源(如旋转机械)产生音调噪声的情况下,已过滤X LMS(FXLMS)算法用于主动控制此类噪声。然而,该算法是在慢适应极限的假设下推导的,并且对该算法的精确分析仅限于文献中一个真实正弦波的情况。本文针对任意数量源的一般情况,推导了描述FXLMS算法的等效线性系统的特征多项式,并提出了一种计算稳定极限的方法。此外,提出了一种没有上述假设的相关新算法,该算法相对于抽头权重是非线性的。仿真结果表明,在自适应的早期阶段,新算法给出了更快的误差衰减。

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